π Sundays Lab #3 - When AI becomes a collective playground
on April 20, 2026
On Sunday, April 19, 2026, at Hexa (eFounders) in Paris, a new edition of Sundays Lab was held. A seemingly simple format: coworking, AI workshop, exchange session.
But in practice: π a concrete demonstration of what the builder ecosystem will become in 2026.
βοΈ A paradigm shift: from conference to interactive system
The first strong signal of the event is not technical.
This is the format.
We are no longer sure:
- top-down talks
- βInspiringβ speakers
We are on:
- a real-time construction
- an ongoing interaction**
- a system where the audience becomes a co-creator
βWe didnβt want a traditional workshop. We wanted everyone to participate.β
Here's a section ready to integrate into your Darkwood article π
π§βπ Speakers & Participants - Projects and Signals
π€ Pato - AI & Automated Go-To-Market
As the founder of Cluently, he embodies the βbuilder + salesβ profile. His presentation shows how AI can replace entire business functions (prospecting, matching, CRM).
π Project presented:
- AI agent for automated prospecting
- Intelligent matching between profiles / opportunities
- Build Society community app generated live
π Key signal:
The future of SaaS = agent + distribution, not just product
π€ Jules - Growth & Creative AI
Founder of Loops, focused on performance marketing.
π Project:
- SaaS for generating high-performing ads
- Focus on creativity as the main driver of growth
π Insight:
- Growth no longer comes from targeting
- but large-scale content creation via AI
π€ Tom - Personal branding & distribution
Content creator (philosophy + tech), rapid growth on Instagram.
π Positioning:
- Build an audience before a product
- Transforming complex ideas into viral content
π Insight:
Distribution is becoming a stronger asset than tech.
π€ Lucas Lefner - Startup advisory & network
Provides support to early-stage startups (strategy, sales, equity).
π Model:
- support in exchange for equity or mission
- creation of a business club (Startup Hunters)
π Key insight:
β90% of business is networkingβ
π Signal:
- return of network-driven business
- Importance of private circles / clubs
π€ Enzo - Iomaris
Real estate startup (beta phase).
π Product:
- Platform for managing a real estate project from start to finish
- Profitability analysis, taxation, market
- collaboration between individuals and professionals
π Business model:
- Free for individuals
- Monetization via professionals (leads)
π Insight:
- extreme simplification of a complex domain via AI
- trend βvertically integrated business assistantβ
π€ Eli - Gamified Education App
Student (HEC), project focused on academic productivity.
π Product:
- collaborative work app
- Strava-type logic applied to the study
- comparison between students / classes
π Insight:
- gamification + social = strong engagement lever
- βpublic progress trackingβ logic
π€ Romain - Automated Pentest with AI
Profile not an expert in cybersecurity.
π Product:
- Automated penetration testing service via AI
- Use of scripts + LLM to detect vulnerabilities
π Model:
- one-off service (audit)
- no ongoing maintenance
π Key insight:
AI makes it possible to create expert services without initial expertise.
π Signal:
- explosion of AI-augmented agencies
π€ Laurent (Startup Hunters) - Ecosystem & Support
Supports startups and young entrepreneurs.
π Activity:
- business structuring
- Connecting investors and founders
π Insight:
- Lack of operational support for early founders
- growing need for on-the-ground guidance
π€ GEO Project (AI Search Optimization)
E-commerce consultant / Advanced SEO.
π Product:
- optimization tool to appear in LLM responses
- alternative to traditional SEO
π Function:
- analysis of the sources used by AI
- Content optimization + ecosystem
π Key insight:
AI traffic will surpass traditional SEO
π€ Social Matching Project (anonymous)
Next generation social network concept.
π Product:
- Weekly matching based on deep interests
- No profile, no swipe
- authentic interaction
π Insight:
- reaction to the saturation of social networks
- back to qualitative interactions
π§ Overall reading
These profiles show a clear convergence:
1. All projects use AI
But at different levels:
- Automation (sales, penetration testing)
- product (ads, real estate)
- distribution (content, GEO)
2. The technical barrier disappears
β‘οΈ Everyone can build β‘οΈ so the difference lies elsewhere
3. The real weapons become:
- network
- distribution
- branding
- niche
In concrete terms:
- an app generated live
- decisions made via vote
- a product built in front of the audience
π The event itself becomes a product prototype.
π€ AI is no longer a tool, it's a production interface
The workshop highlighted a key point:
π Software creation is now iterative, public, and assisted.
A concrete example observed:
- app scenario generation
- code generation with LLM (Claude)
- Automatic error correction
- near-immediate deployment (Cloudflare)
βClaude generates the code, corrects his errors, and we build the app as we go.β
What it actually changes
Before :
- design β dev β test β deploy
NOW :
- intention β generation β feedback β correction
π The cycle becomes continuous and conversational.
π§ The real issue: distribution > technology
One point came up several times during the exchange session:
π Technology is no longer the barrier to entry.
What remains difficult:
- find customers
- distribute a product
- create an audience
βCode is becoming commoditized. The real barrier is distribution.β
Direct consequence
We observe a shift:
| Before | Now | | ----------------- | ----------------------- | | Build a product | Build an audience | | Optimize tech | Optimize acquisition | | Be a developer | Be a full operator |
π Acquisition: Organized Chaos
The discussions highlighted a reality:
π There is no longer a single dominant channel.
Canals mentioned
- LinkedIn (B2B, decision-makers)
- Instagram (creation + virality)
- Twitter/X (monitoring + opportunities)
- Email (still extremely effective)
Key Insight
π Efficiency comes from:
- repetition
- multi-channel presence
- the transformation of content into multiple formats
βA video β shorts β reels β LinkedIn post β newsletterβ
π§© The emergence of βhybrid buildersβ
One profile keeps recurring:
π people not technically expert β capable of creating products using AI
A striking example:
- creation of an automated penetration testing service
- without advanced cybersecurity expertise
- based on tool orchestration + LLM
βI donβt have strong technical skills, but it works.β
π§ The underlying problem: cognitive overload
Everyone shares the same feeling:
π AI is going too fast
Symptoms :
- permanent FOMO
- too many tools
- too many new things
Observed response:
π Return to:
- Task structuring (SOP)
- simplification
- focus
βWrite down your tasks one by one, then see what AI can optimize.β
𧬠AI amplifies⦠but does not replace
A central question was raised:
π Will AI kill products?
Overall response from the group:
β No β It filters
What disappears
- low-quality products
- SaaS without distribution
- worthless clones
What remains
- branding
- network
- human relationship
βAI amplifies both the good and the bad.β
π Towards a new layer: GEO (AI Search)
An advanced topic has emerged:
π GEO (Generative Engine Optimization)
Objective :
- appear in LLM responses (ChatGPT, etc.)
- not just in Google
Figures mentioned:
- 18x growth in AI traffic
- 4x conversion on this traffic
βUsers coming from ChatGPT convert 4x more.β
π This is probably the equivalent of SEOβ¦ AI version.
π€ The heart of the model: connecting people
The product built during the event is revealing:
π a matching app for participants
Aim :
- Connect problems β solutions
- create real synergies
βMatching problems with solutions.β
π§ Darkwood Reading
This meetup confirms several major trends:
1. The technical stack becomes secondary
Symfony, Node, etc. β important But more differentiating on its own
2. Orchestration becomes key
What you do with Flow β totally aligned
π Connect:
- data
- agents
- workflows
3. The product = system + distribution
Not just code
4. The future is hybrid
- AI β execution
- human β direction
β‘ Conclusion
Sundays Lab #3 is not a meetup. This is a prototype of what the tech ecosystem is becoming.
π A space where:
- on build live
- we learn by doing
- we connect in real time
And most importantly:
π where the real skill is no longer coding but to transform an intention into a functional system.